Decoupling Big Data Compute and Storage

on Dec 1, 2016 3:42:07 PM | By Tripp Smith | Hadoop Big Data data architecture Analytics SQL
Once upon a time, if you wanted a multipurpose platform for analytics, SQL databases were the way to go. This was doubly true for big data, where volumes swelled beyond the capacity of a single machine to handle analytics on such a scale. Big data was simply too big to pass across the network, and data proximity was a fundamental assumption for MPP architecture. The concept of randomized distribution without consideration for the most common access paths was unthinkable.
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